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Testing a Commercial BCI Device for In-Vehicle Interfaces Evaluation
Author(s) -
Nicolas Louveton,
Korok Sengupta,
Roderick McCall,
Raphaël Frank,
Thomas Engel
Publication year - 2017
Publication title -
international journal of mobile computing and multimedia communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 10
eISSN - 1937-9404
pISSN - 1937-9412
DOI - 10.4018/ijmcmc.2017040101
Subject(s) - distraction , brain–computer interface , metric (unit) , computer science , task (project management) , fidelity , context (archaeology) , human–computer interaction , driving simulator , interface (matter) , simulation , engineering , electroencephalography , psychology , operating system , telecommunications , paleontology , operations management , neuroscience , psychiatry , maximum bubble pressure method , systems engineering , biology , bubble
This study is assessing the sensitivity of an affordable BCI device in the context of driver distraction in both low-fidelity simulator and real-world driving environments. Twenty-three participants performed a car following task while using a smartphone application involving a range of generic smartphone widgets. On the first hand, the results demonstrated that secondary task completion time is a fairly robust metric as it is sensitive to user-interfaces style while being consistent between the two driving environments. On the second hand, while the BCI attention level metric was not sensitive to the different user-interfaces, we found it to be significantly higher in the real-driving environment than in the simulated one, which reproduces findings obtained with medical-grade sensors.

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